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(4) Have
an
agent
as
a
memory
unit
that
can
finish
certain
tasks
independently.
Serials of reasoning can be taken on the basis of memory network. The
following is some examples:
(1) Knowledge can be inherited among nodes through the semantic relations.
This point is similar to inheritance reasoning in semantic networks.
(2) Restraints satisfiability refers to the intra process of acquirement of
special knowledge by adding additional restraints to the node's intension
(3) As for the knowledge stored in THY slots, reasoning methods, i.e.,
forward- and backward reasoning, information transmission, can be
adapted according to the representation methods.
(4) CAS slots are about cases, so CBR methods can be adopted. Hence,
case-based abstraction and generalization are operations that can be
implemented in the memory network.
5.5 Case Indexing
The organization of cases includes two parts: the content of cases, which should
be useful to problem solving; and the indices of cases, which reflect
the differences among cases and are involved in the structure and the retrieval
of cases.
Typically a case comprises the following three main components: the
problem
that describes problem to be solved and the states of world
when the case occurred; the
or
scene
solution
which states the solution to that problem;
and/or the
that describes the new state of the world after the case
occurred. The first two parts are the must-contained parts in any CBR systems,
while the
result
result
is optional.
(1) The
is the description of problems to be solved or the
states of world to be understood. They generally include the following
contents: The goal of the system when the case occurred, the tasks
involved in the fulfillment of the goal, and all the characteristics of the world
states or environments related to the possible solutions.
(2) The content of the
problem
or
scene
is how the problem is solved under a particular
situation. It may be just a simple solution to the problem, or the process to
reach this answer.
solution
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